Advertisements
Advertisements
Question
Five defective mangoes are accidently mixed with 15 good ones. Four mangoes are drawn at random from this lot. Find the probability distribution of the number of defective mangoes.
Solution
Let X denote the number of defective mangoes in a sample of 4 mangoes drawn from a bag containing 5 defective mangoes and 15 good mangoes. Then, X can take the values 0, 1, 2, 3 and 4.
Now,
\[P\left( X = 0 \right)\]
\[ = P\left( \text{ no defective mango } \right)\]
\[ = \frac{{}^{15} C_4}{{}^{20} C_4}\]
\[ = \frac{1365}{4845}\]
\[ = \frac{91}{323}\]
\[P\left( X = 1 \right)\]
\[ = P\left( 1 \text{ defective mango } \right)\]
\[ = \frac{{}^5 C_1 \times^{15} C_3}{{}^{20} C_4}\]
\[ = \frac{2275}{4845}\]
\[ = \frac{455}{969}\]
\[P\left( X = 2 \right)\]
\[ = P\left( 2 \text{ defective mangoes } \right)\]
\[ = \frac{{}^5 C_2 \times^{15} C_2}{{}^{20} C_4}\]
\[ = \frac{1050}{4845}\]
\[ = \frac{70}{323}\]
\[P\left( X = 2 \right)\]
\[ = P\left( 3 \text{ defective mangoes } \right)\]
\[ = \frac{{}^5 C_3 \times^{15} C_1}{{}^{20} C_4}\]
\[ = \frac{150}{4845}\]
\[ = \frac{10}{323}\]
\[P\left( X = 3 \right)\]
\[ = P\left( 4 \text{ defective mangoes } \right)\]
\[ = \frac{{}^5 C_4}{{}^{20} C_4}\]
\[ = \frac{5}{4845}\]
\[ = \frac{1}{969}\]
Thus, the probability distribution of X is given by
x | P(X) |
0 |
\[\frac{91}{323}\]
|
1 |
\[\frac{455}{969}\]
|
2 |
\[\frac{70}{323}\]
|
3 |
\[\frac{10}{323}\]
|
4 |
\[\frac{1}{969}\]
|
APPEARS IN
RELATED QUESTIONS
From a lot of 15 bulbs which include 5 defectives, a sample of 4 bulbs is drawn one by one with replacement. Find the probability distribution of number of defective bulbs. Hence find the mean of the distribution.
Assume that the chances of the patient having a heart attack are 40%. It is also assumed that a meditation and yoga course reduce the risk of heart attack by 30% and prescription of certain drug reduces its chances by 25%. At a time a patient can choose any one of the two options with equal probabilities. It is given that after going through one of the two options the patient selected at random suffers a heart attack. Find the probability that the patient followed a course of meditation and yoga?
There are 4 cards numbered 1, 3, 5 and 7, one number on one card. Two cards are drawn at random without replacement. Let X denote the sum of the numbers on the two drawn cards. Find the mean 'and variance of X.
A random variable X has the following probability distribution:
Values of X : | −2 | −1 | 0 | 1 | 2 | 3 |
P (X) : | 0.1 | k | 0.2 | 2k | 0.3 | k |
Find the value of k.
Two cards are drawn successively without replacement from a well shuffled pack of 52 cards. Find the probability distribution of the number of aces.
The probability distribution of a random variable X is given below:
x | 0 | 1 | 2 | 3 |
P(X) | k |
\[\frac{k}{2}\]
|
\[\frac{k}{4}\]
|
\[\frac{k}{8}\]
|
Determine the value of k .
Find the mean and standard deviation of each of the following probability distributions:
xi : | 2 | 3 | 4 |
pi : | 0.2 | 0.5 | 0.3 |
Find the mean and standard deviation of each of the following probability distribution :
xi : | -5 | -4 | 1 | 2 |
pi : | \[\frac{1}{4}\] | \[\frac{1}{8}\] | \[\frac{1}{2}\] | \[\frac{1}{8}\] |
Find the mean and standard deviation of each of the following probability distribution :
xi : | 1 | 2 | 3 | 4 |
pi : | 0.4 | 0.3 | 0.2 | 0.1 |
Find the mean variance and standard deviation of the following probability distribution
xi : | a | b |
pi : | p | q |
A pair of fair dice is thrown. Let X be the random variable which denotes the minimum of the two numbers which appear. Find the probability distribution, mean and variance of X.
A die is tossed twice. A 'success' is getting an odd number on a toss. Find the variance of the number of successes.
For what value of k the following distribution is a probability distribution?
X = xi : | 0 | 1 | 2 | 3 |
P (X = xi) : | 2k4 | 3k2 − 5k3 | 2k − 3k2 | 3k − 1 |
A random variable X has the following probability distribution:
X : | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
P (X) : | 0.15 | 0.23 | 0.12 | 0.10 | 0.20 | 0.08 | 0.07 | 0.05 |
For the events E = {X : X is a prime number}, F = {X : X < 4}, the probability P (E ∪ F) is
A die is tossed twice. A 'success' is getting an even number on a toss. Find the variance of number of successes.
Verify the following function, which can be regarded as p.m.f. for the given values of X :
X = x | -1 | 0 | 1 |
P(x) | -0.2 | 1 | 0.2 |
A departmental store gives trafnfng to the salesmen in service followed by a test. It is experienced that the performance regarding sales of any salesman is linearly related to the scores secured by him. The following data gives the test scores and sales made by nine (9) salesmen during a fixed period.
Test scores (X) | 16 | 22 | 28 | 24 | 29 | 25 | 16 | 23 | 24 |
Sales (Y) (₹ in hundreds) | 35 | 42 | 57 | 40 | 54 | 51 | 34 | 47 | 45 |
(a) Obtain the line of regression of Y on X.
(b) Estimate Y when X = 17.
A random variable X has the following probability distribution :
X = x | -2 | -1 | 0 | 1 | 2 | 3 |
P(x) | 0.1 | k | 0.2 | 2k | 0.3 | k |
Find the value of k and calculate mean.
The expenditure Ec of a person with income I is given by Ec = (0.000035) I2 + (0. 045) I. Find marginal propensity to consume (MPC) and average propensity to consume (APC) when I = 5000.
Verify whether the following function can be regarded as probability mass function (p.m.f.) for the given values of X :
X | -1 | 0 | 1 |
P(X = x) | -0.2 | 1 | 0.2 |
A random variable X has the following probability distribution :
X | 0 | 1 | 2 | 3 | 4 | 5 | 6 |
P(X) | C | 2C | 2C | 3C | C2 | 2C2 | 7C2+C |
Find the value of C and also calculate the mean of this distribution.
Solve the following:
Identify the random variable as either discrete or continuous in each of the following. Write down the range of it.
A highway safety group is interested in studying the speed (km/hrs) of a car at a check point.
Determine whether each of the following is a probability distribution. Give reasons for your answer.
x | 0 | 1 | 2 |
P(x) | 0.1 | 0.6 | 0.3 |
Determine whether each of the following is a probability distribution. Give reasons for your answer.
x | 0 | 1 | 2 |
P(x) | 0.3 | 0.4 | 0.2 |
A sample of 4 bulbs is drawn at random with replacement from a lot of 30 bulbs which includes 6 defective bulbs. Find the probability distribution of the number of defective bulbs.
A die is thrown 4 times. If ‘getting an odd number’ is a success, find the probability of 2 successes
The probability that a bulb produced by a factory will fuse after 200 days of use is 0.2. Let X denote the number of bulbs (out of 5) that fuse after 200 days of use. Find the probability of X = 0
Solve the following problem :
Following is the probability distribution of a r.v.X.
x | – 3 | – 2 | –1 | 0 | 1 | 2 | 3 |
P(X = x) | 0.05 | 0.1 | 0.15 | 0.20 | 0.25 | 0.15 | 0.1 |
Find the probability that X is non-negative
Solve the following problem :
The probability that a lamp in the classroom will burn is 0.3. 3 lamps are fitted in the classroom. The classroom is unusable if the number of lamps burning in it is less than 2. Find the probability that the classroom cannot be used on a random occasion.
Solve the following problem :
A large chain retailer purchases an electric device from the manufacturer. The manufacturer indicates that the defective rate of the device is 10%. The inspector of the retailer randomly selects 4 items from a shipment. Find the probability that the inspector finds at most one defective item in the 4 selected items.
Solve the following problem :
In a large school, 80% of the students like mathematics. A visitor asks each of 4 students, selected at random, whether they like mathematics.
Find the probability that the visitor obtains the answer yes from at least 3 students.
Let X be a discrete random variable. The probability distribution of X is given below:
X | 30 | 10 | – 10 |
P(X) | `1/5` | `3/10` | `1/2` |
Then E(X) is equal to ______.
A discrete random variable X has the probability distribution given as below:
X | 0.5 | 1 | 1.5 | 2 |
P(X) | k | k2 | 2k2 | k |
Find the value of k
The probability distribution of a discrete random variable X is given below:
X | 2 | 3 | 4 | 5 |
P(X) | `5/"k"` | `7/"k"` | `9/"k"` | `11/"k"` |
The value of k is ______.
Two balls are drawn at random one by one with replacement from an urn containing equal number of red balls and green balls. Find the probability distribution of number of red balls. Also, find the mean of the random variable.
Two numbers are selected from first six even natural numbers at random without replacement. If X denotes the greater of two numbers selected, find the probability distribution of X.
A box contains 30 fruits, out of which 10 are rotten. Two fruits are selected at random one by one without replacement from the box. Find the probability distribution of the number of unspoiled fruits. Also find the mean of the probability distribution.
A primary school teacher wants to teach the concept of 'larger number' to the students of Class II.
To teach this concept, he conducts an activity in his class. He asks the children to select two numbers from a set of numbers given as 2, 3, 4, 5 one after the other without replacement.
All the outcomes of this activity are tabulated in the form of ordered pairs given below:
2 | 3 | 4 | 5 | |
2 | (2, 2) | (2, 3) | (2, 4) | |
3 | (3, 2) | (3, 3) | (3, 5) | |
4 | (4, 2) | (4, 4) | (4, 5) | |
5 | (5, 3) | (5, 4) | (5, 5) |
- Complete the table given above.
- Find the total number of ordered pairs having one larger number.
- Let the random variable X denote the larger of two numbers in the ordered pair.
Now, complete the probability distribution table for X given below.
X 3 4 5 P(X = x) - Find the value of P(X < 5)
- Calculate the expected value of the probability distribution.